Analytics Engineer Job at Mollie (Amsterdam)

Job Description

Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind. We're one of Europe's fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you'll have the freedom to create and the trust to deliver. If you're ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you.

Job Responsibility

Data modeling & architecture: Build and maintain robust, performant, and user-friendly data models that can power dashboarding to monitor critical payment metrics and track payment method performance for the Payments domain
Collaborate with product and engineering: Work closely with product managers and engineers to embed data into the core of payments products. You’ll help translate complex payment flows into actionable insights, driving adoption of data products across teams
Commercial insights: Partner with stakeholders to define and track key revenue and performance drivers, and use data to drive improvements in features and product adoption, customer engagement and product performance
Data quality: Ensure high trust in payments data by implementing data quality validation checks, testing frameworks, and proactive monitoring
Data culture & enablement: Contribute to a culture of technical rigour and data literacy. You will help mentor team members on analytics best practices and ensure knowledge is well-documented and accessible

Requirements

Strong analytics & modeling: You have a proven ability to build reliable and scalable data models using SQL and data principles. Hands-on experience with a modern data stack (e.g. dbt, Snowflake, BigQuery) is essential
Deep commercial analysis: You don't just build tables, you ask "Why?". You have strong experience in product or commercial analytics, using data to answer ambiguous questions around customer behaviour, performance drivers, and growth opportunities
Impactful communication: You excel at translating analysis into clear, actionable narratives for stakeholders. You confidently present your findings and influence decisions across a range of audiences

Nice to have

Prior experience working within Payments or Fintech industry
Hand-on experience analyzing and optimizing complex funnels, with a strong understanding of conversion drivers and drop-off

What we offer

20 days working from abroad
Wellbeing Budget (€60 per month net)
Lifestyle and Health Support via OpenUp
26 holiday days plus 2 extra days off in between 27 and 31 December
Commute options (NS Business Card and bike lease plan)
Birthday off
WFH Equipment Budget of €400 for new hires
Hybrid working with WFH & Internet allowance at €60 a month
Discounted Lunch (hot and cold meals plus snacks available each day for less than €4)
Health Insurance (insure with ONVZ or receive €125 net towards your own insurance)
Annual Mollieverse event

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Analytics Engineer

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